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Safety Net For Actionable Tasks Disclosure Number: IPCOM000217970D
Publication Date: 2012-May-14
Document File: 4 page(s) / 176K

Publishing Venue

The Prior Art Database


Disclosed is a system to play back content related to specific messages that a user might have missed or forgotten about during a working day. The system incorporates an intelligent monitoring engine with Natural Language Processing to identify messages of particular urgency and sets up alerts to ensure that the user addresses them before the end of the workday.

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Safety Net For Actionable Tasks

Throughout a working day, users may receive many requests to carry out different tasks. The requests may come in the form of Instant Messaging , Email, Forums, wikis

etc. When the user reaches the end of the day , it is very easy to shut down their system and overlook these requests. At times, if the user does not properly shut down their system, they lose unanswered requests and other suspended communications . This can cause serious productivity issues if the requests were critical or time -sensitive.

This disclosure recommends a new and novel approach to combating this problem of missed or unfinished communications.

This disclosure describes a system that allows senders of messages to do the following:

• Specify messages for which this system should be enabled

• Ascertain outstanding requests for that message(s), and then

• Replay the last actions the recipient had with the message at a suitable time .

That replay time may be toward the end of the day so that they are not overlooked or forgotten when the recipient is anxious to leave work. In the case where the user closes their laptop without properly shutting it down, then the system can display the requests on system restart.

The system monitors communication applications as specified by the sender (e.g., Instant Messaging (IM) chats, emails, forums, wikis, etc.). The intelligent engine automatically tags and logs specified requests sent to the user . If the user does not respond/act upon the request, then the system stores the requests until a set time for the system to commence playback (e.g., 17:00). If the user tries to shut down the computer, then they are presented with the task playback for the specified messages before the system can be closed. This prevents the user from overlooking certain key tasks before they leave for the day. It also prevents the user from losing requests if the system crashes/hangs.

The system identifies all new requests sent to the user and removes all requests as the user responds to them. The system ascertains if the user has likely completed a request (as the user may have been interrupted mid-task)

The intelligent monitoring engine is a simple agent that scans incoming emails for keywords that imply urgency and importance (e.g., EOD, urgent, important, deadline, etc.). Using a weighting system algorithm, the agent assigns each "important" mail a value from 1-10 of importance. The email sender can be added to the weighting system. For example, if the head of the organization sends an email to the recipient containing keywords that imply urgency, then the recipient surely would not want to overlook that message.

Using the Natural Language Processing (NLP) engine, the system recognizes terms related to deadlines (e.g., EOD, completed by, etc.). If the system acknowledges that a


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request is to be completed by a designated date (e.g., three days from now), then the system logs this to be rep...